Artificial Intelligence for Optical Coherence Tomography in Glaucoma.

Journal: Translational vision science & technology
Published Date: Jan 2, 2025

Abstract

PURPOSE: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of various DL models in enhancing OCT capabilities and addresses the challenges associated with their clinical implementation.

Authors

  • Mak B Djulbegovic
    Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA.
  • Henry Bair
    Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA.
  • David J Taylor Gonzalez
    Hamilton Eye Institute, University of Tennessee Health and Science Center, Memphis, TN, USA.
  • Hiroshi Ishikawa
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Gadi Wollstein
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.
  • Joel S Schuman
    Department of Ophthalmology, NYU Langone Health, NYU Eye Center, New York, New York.

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